Active Dispatches
12
All tracking in real-time
Scheduled Distance
1,480 km
Optimized transit lines
Fuel Saved by AI
182 Liters
14.8% congestion reduction
On-Time Delivery Rate
98.2%
Target: > 95%
Active Fleet Routes & Dispatches
Real-time waypoint progression across Abuja territory| Route ID | Vehicle | Waypoints / Path | Stops | ETA | Status |
|---|---|---|---|---|---|
| RT ABJ 001 | FST 001 | Kubwa Depot → Maitama → Central Mall | 3 Stops | 10:45 AM | On Schedule |
| RT ABJ 002 | FST 002 | Kuje Logistics → Karshi → Asokoro Freight Hub | 4 Stops | 11:20 AM | Idle Standby |
| RT ABJ 003 | FST 003 | Garki Maintenance Base → Apo Ring Road → CBD | 2 Stops | 12:15 PM | Maintenance Hold |
| RT ABJ 004 | FST 004 | Mpape Logistics Hub → Maitama Ring Road → Wuse | 5 Stops | 11:10 AM | On Schedule |
| RT ABJ 005 | FST 005 | A24 Garki South → Karu Overpass → Nyanya Interchange | 3 Stops | 11:40 AM | On Schedule |
AI Dynamic Route Generator
Optimize multi-stop delivery routes to minimize fuel consumption and bypass peak congestion.
Estimated Mileage:
42.8 km
Predicted Savings:
12.4 Liters (₦14,800 saved)
Student / Researcher: Gaddafi Umar
Registration No: CSC/18D/4445
Project Topic: Design and Implementation of an Intelligent Real-Time Fleet Management and Vehicle Tracking System